An Ecosystem Architecture Meta-Model for Supporting Ultra-Large Scale Digital Transformations
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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An Ecosystem Architecture Meta-Model for Supporting Ultra-Large Scale Digital Transformations. / Burmeister, Fabian; Drews, Paul; Schirmer, Ingrid.
25th Americas Conference on Information Systems, AMCIS 2019: Cancún, Mexico, August 15-17, 2019. Atlanta : Association for Information Systems, 2019. (Proceedings of the Americas Conference on Information Systems (AMCIS); Vol. 2019).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - An Ecosystem Architecture Meta-Model for Supporting Ultra-Large Scale Digital Transformations
AU - Burmeister, Fabian
AU - Drews, Paul
AU - Schirmer, Ingrid
PY - 2019
Y1 - 2019
N2 - Digital transformations all over the world intend to create or influence socio-technical ecosystems in which people and organizations are collaborating today. Many of these digitization efforts are characterized as partial or total failures, as they could not master the high complexity of a focal ecosystem, including a large number of involved actors, multi-branched collaboration processes and heterogeneous IT landscapes. In an intra-organizational context, enterprise architecture (EA) models are used to receive transparency on relations and to handle the complexity of digital transformations. This paper aims to extend the idea of EA modeling to the ecosystem level to support project managers in performing digital transformations of ultra-large scale. By conducting four case studies on digitization projects in different industries, we identified six architectural perspectives with forty stakeholder concerns on ultra-large scale digital transformations. For addressing these concerns, an ecosystem architecture meta-model is developed and demonstrated.
AB - Digital transformations all over the world intend to create or influence socio-technical ecosystems in which people and organizations are collaborating today. Many of these digitization efforts are characterized as partial or total failures, as they could not master the high complexity of a focal ecosystem, including a large number of involved actors, multi-branched collaboration processes and heterogeneous IT landscapes. In an intra-organizational context, enterprise architecture (EA) models are used to receive transparency on relations and to handle the complexity of digital transformations. This paper aims to extend the idea of EA modeling to the ecosystem level to support project managers in performing digital transformations of ultra-large scale. By conducting four case studies on digitization projects in different industries, we identified six architectural perspectives with forty stakeholder concerns on ultra-large scale digital transformations. For addressing these concerns, an ecosystem architecture meta-model is developed and demonstrated.
KW - Business informatics
KW - Digital Transformation
KW - cosystem Architecture
KW - Enterprise Architecture
KW - Meta-Model
KW - Concerns
UR - https://aisel.aisnet.org/do/search/?q=paul drews&start=0&context=14822329&facet=
UR - https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1309&context=amcis2019
UR - https://www.mendeley.com/catalogue/c1d53c48-2a81-38c1-b6c1-fb9f8985974a/
M3 - Article in conference proceedings
T3 - Proceedings of the Americas Conference on Information Systems (AMCIS)
BT - 25th Americas Conference on Information Systems, AMCIS 2019
PB - Association for Information Systems
CY - Atlanta
ER -